{"id":"W4220997307","doi":"10.18438/eblip30017","title":"Federal Library Utilization of LibGuides to Disseminate COVID-19 Information","year":2022,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Pandemic; Coronavirus disease 2019 (COVID-19); Information Dissemination; Government (linguistics); Dissemination; Outbreak; Medicine; Library science; Internet privacy; Infectious disease (medical specialty); World Wide Web; Disease; Computer science; Virology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.008061866,0.0003016948,0.0003499313,0.005382066,0.004342417,0.006133419,0.001133105,0.0006248343,0.03778663],"category_scores_gemma":[0.02905628,0.0003388132,0.0003613929,0.006086074,0.001195157,0.004252912,0.005512779,0.0004700858,0.01392496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003556642,"about_ca_system_score_gemma":0.008105713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007415866,"about_ca_topic_score_gemma":0.01201977,"domain_scores_codex":[0.9905183,0.004792915,0.0009724623,0.0006726439,0.002282992,0.000760748],"domain_scores_gemma":[0.9688237,0.01154207,0.005521949,0.00369286,0.006985392,0.003434171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004273369,0.0004338558,0.192119,0.002935424,0.00007782016,0.0006571322,0.0375303,0.0002748152,0.003954139,0.005554412,0.1082928,0.647743],"study_design_scores_gemma":[0.00005815249,0.0006851605,0.1943289,0.002318732,0.0001142321,0.001119268,0.06137821,0.001062022,0.007273719,0.00163897,0.7298461,0.0001765309],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7098346,0.003767369,0.007695528,0.01368674,0.000271835,0.00204375,0.01614019,0.003948658,0.2426113],"genre_scores_gemma":[0.9272595,0.003759555,0.01635132,0.003271069,0.0002811927,0.001567715,0.005164092,0.0003470088,0.04199849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9938666,"threshold_uncertainty_score":0.1264089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03957425582917776,"score_gpt":0.3420073752875935,"score_spread":0.3024331194584157,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}